Casualties due to traffic accidents are increasing day by day. Think of this message being displayed on your computer screen while you were driving “there’s a possibility of collision with a car in the next few minutes if you go on driving with this speed and direction”. Our research is intended towards developing collision avoidance architecture for the latest Intelligent Transport System. The exchange of safety messages among vehicles and with infrastructure devices poses major challenges. Specially, safety messages have to be adaptively distributed within a certain range of a basically unbounded system. These messages are to be well coordinated and processed via different algorithms between two different cars which is embedded radar or without radar. With this motivation the author sets the objectives like achieving a data rate of 100 Mbps for full vehicular mobility, sensing of nearby vehicles using digital radar, integrating both communication and radar to have one wireless embedded system for providing concurrent vehicular communication and safety. To achieve 100 Mbps data rate, different communication technologies at the transmitter as well as at the receiver sections are tried and compared according to CALM (Continuous Air interface for Long and Medium distance ) standard framed by ITU. Finally, MIMO (Multiple-Input Multiple-Output) based noble signal scheme “Hybrid BLAST STBC” at the transmitter and ML (Maximum Likehood) detector approach has evolved fulfilling the objective. This scheme combines MIMO and STBC (Space Time Block Code) to generate a system functionally superior to MIMO and STBC systems. For radar based sensing, MIMO radar is found to be more effective on road condition. Finally, authors would like to provide an implication of realistic E-vehicle for next generation transportation system. The above performances of our proposed system are compared with the conventional scheme by software simulations which validate the analytical results.